AI Dataset2026
Collects ML Intern coding-agent session traces as Claude‑Code‑style JSONL event streams for viewing with the Hugging Face Agent Trace Viewer. Each file is one session (messages, tool calls, outputs, timestamps); automated scrubbing is applied but no comprehensive human redaction—treat as potentially sensitive.
AI Dataset2026
Instruction‑tuning dataset of 8,706 Claude Opus 4.6/4.7–generated examples where each assistant turn begins with a synthetic <think> block to emulate chain‑of‑thought. Provided as four splits (full/instruct/roleplay/code), ~17M tokens total, Apache‑2.0, not manually reviewed.
AI Dataset2026
Provides aligned urban driving sensor streams (camera frames, LiDAR, radar and HD‑map / lanelet2 annotations) for multimodal perception, tracking and mapping research. Expert-generated labels under CC BY‑NC‑4.0 and hosted on Hugging Face.
AI Dataset2026
Structured, downloadable JSONL dataset of Seedance 2.0 video-generation prompts with matching MP4 previews and cover images; includes English/Chinese texts and standardized metadata (duration, resolution, safety) and is released under CC BY 4.0 for reuse.
AI Dataset2026
A prompt-only mixture of ~478k prompts designed to support antidoom-style generation and preference-data pipelines for reducing model repetition (doom loops). Prompts are stripped of answers and labels and sourced from many public datasets so it’s usable for FTPO/adapter generation but not for supervised QA evaluation.
AI Deploy2026
Runs local LLMs on Apple Silicon using native MTP speculative decoding to accelerate token generation while preserving the model's output distribution. Leverages the model's own MTP heads with batched verification and exact rejection sampling; ships with a Mac app, CLI, local OpenAI/Anthropic-compatible server, auto-tune, and Forge for building/verifying MTP adapters.
AI Dataset2026
Evaluates LLM-driven agents on long-horizon, policy-rich U.S. healthcare workflows using 75 clinical task fixtures and a 20-app MCP simulator; includes task fixtures, shared worlds, and leaderboard integration (Managed-Care handbook is gated).
AI Dataset2026
Benchmarks LLM and VLM capabilities for toxicity-aware molecular editing using toxicity‑cliff molecule pairs. It provides QA-formatted tasks and CSV splits for fragment identification, non-toxic fragment generation, and detoxified molecule generation—useful for safety evaluation and drug-discovery research.
AI Dataset2026
Provides 1.3 billion platform-specific video URLs extracted from CommonCrawl along with crawl metadata (no media included), serving as the source corpus for the LAION-BVD multimodal video dataset; distributed on Hugging Face in Parquet format.
AI Model2026
Generates uncensored videos from text and images using an LTX 2.3–based diffusion model with native t2v and i2v support; ships with a prompt enhancer and developer-focused gguf/bf16 dev releases for local experimentation.
AI Model2026
Transforms pretrained latent-diffusion priors into pixel-space diffusion models by removing the VAE and training shallow pixel layers on LDM-generated synthetic images — enabling fast convergence, native 4K output, and low-data training on 8 GPUs.
AI Dataset2026
Provides paired images and English captions for vision–language research, curated by Stanford Vision Lab and hosted on Hugging Face; useful for training and evaluating multimodal models and reproducing related research.